The Future of AI Investments: Personal Agents, IPOs, and Evaluating ROI

Tokenmaxxing was a major trend in Silicon Valley this year, with CEOs pushing for extensive use of AI. However, this enthusiasm led to financial consequences. Uber overspent its AI budget, some companies reduced their use of Claude licenses, and Meta discontinued its internal leaderboard.

This clash between hype and return on investment is where NEA partner Tiffany Luck focuses her attention. She initially advocated for e-commerce’s potential and is now fully invested in AI, particularly in creating “magic moments” in consumer businesses.

In this episode of TechCrunch’s Equity podcast, Luck discusses the future of personal agents, her views on this year’s AI IPOs, and how startups are aiding enterprises in tracking AI expenditure returns.

Key points discussed in the episode include:

• Implications of the shift from tokenmaxxing to ROI on how companies evaluate AI spending.

• The increasing role of forward deployed engineers as a “Trojan horse” for AI adoption.

• Enterprises’ strategy of mixing and matching AI models instead of relying on a single provider.

• Tiffany’s belief that value is generated across all layers of the AI stack, not just at the model level.

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